{"id":"W4307843516","doi":"10.7554/elife.74816","title":"Collective dynamics support group drumming, reduce variability, and stabilize tempo drift","year":2022,"lang":"en","type":"article","venue":"eLife","topic":"Action Observation and Synchronization","field":"Psychology","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"Canadian Institutes of Health Research; Social Sciences and Humanities Research Council of Canada; Natural Sciences and Engineering Research Council of Canada; Canadian Institute for Advanced Research","keywords":"Sociality; Dyad; Social dynamics; Dynamics (music); Cognitive psychology; Synchronization (alternating current); Psychology; Crowds; Task (project management); Group (periodic table); Communication; Social psychology; Cognitive science; Computer science; Mathematics; Artificial intelligence; Topology (electrical circuits); Ecology; Physics; Biology; Engineering","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0007861228,0.0001094107,0.0001465496,0.00008335047,0.0004148144,0.00002742632,0.000113238,0.00006590078,0.01069326],"category_scores_gemma":[0.0001530358,0.0001248887,0.00003479859,0.0003899183,0.00006408541,0.00009635463,0.0001177869,0.0002292392,0.00004911127],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005463825,"about_ca_system_score_gemma":0.0001796215,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007222632,"about_ca_topic_score_gemma":0.00005139193,"domain_scores_codex":[0.9985258,0.0003827029,0.0002696631,0.0003650909,0.0002726117,0.000184124],"domain_scores_gemma":[0.9992761,0.0001580585,0.0001234403,0.000275132,0.00009030129,0.00007698796],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003746391,0.001332119,0.6522065,0.00004072274,0.0001969346,0.00002442921,0.03050451,0.0002325603,0.0004916406,0.1327884,0.1730068,0.008800712],"study_design_scores_gemma":[0.00300861,0.0009072393,0.4064085,0.00000515723,0.00006106673,0.000102971,0.01720182,0.01046164,0.00007817627,0.002581833,0.5585112,0.0006718638],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8737851,0.00003905795,0.01265359,0.002813905,0.002666461,0.0008517131,0.0001464,0.000266073,0.1067777],"genre_scores_gemma":[0.9741006,0.00000362673,0.0003094438,0.0009779839,0.00008783542,0.0001518557,0.0001886538,0.00002341382,0.02415651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3855044,"threshold_uncertainty_score":0.9902111,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02463633794377235,"score_gpt":0.3006605005359564,"score_spread":0.2760241625921841,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}